CVE-2026-41065
Overview
CVE-2026-41065 is a known-severity vulnerability. It was published on June 4, 2026.
Technical Description
Tautulli is a Python based monitoring and tracking tool for Plex Media Server. Versions prior to 2.17.1 are vulnerable to remote code execution via the newsletter custom template directory feature. On a fresh install before the setup wizard is completed, all management endpoints are completely unauthenticated. An attacker can create a newsletter agent, point the custom template directory to an attacker-controlled SMB share serving a malicious Mako template, and trigger execution via the newsletter render endpoint, all with zero credentials and no local access to the target system. On a completed install with credentials configured, the same chain is exploitable by any admin. Version 2.17.1 fixes the issue.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Frequently Asked Questions
What is CVE-2026-41065?
CVE-2026-41065 is a known-severity vulnerability. It was published on June 4, 2026.
How severe is CVE-2026-41065?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2026-41065?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2026-41065?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-41065 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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